Which type of data dictionary represents a data structure defined by Avaloq for hierarchical datamart processing?

The type of data dictionary that represents a data structure defined by Avaloq for hierarchical datamart processing is indeed the Flat Datamart. In Avaloq, the Flat Datamart typically represents a structured data model that can accommodate a hierarchy of data while allowing for efficient querying and reporting. This is essential for datamart operations, which aim to provide a consolidated view of business-related data, enabling users to perform analysis and reporting tasks effectively.

The Flat Datamart is specifically designed to handle complex relationships and structures, making it suitable for hierarchical processing. It ensures data integrity and provides a straightforward means to navigate through the hierarchy, which is critical for generating meaningful insights in a datamart context. This reinforces its key role in the Avaloq ecosystem for managing hierarchical data.

In contrast, the other data dictionary types may serve different purposes. A Pillar DDIC typically represents core data structures, while Memory DDIC focuses on data in memory for performance optimization. A Lookup DDIC is generally used for reference or small datasets that support various operations and queries without the need for hierarchical structuring. Therefore, Flat Datamart is the most appropriate choice for representing a hierarchical data structure suitable for datamart processing in Avaloq.